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Sampling issues affecting accuracy of likelihood-based classification using genetical data

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Sampling issues affecting accuracy of likelihood-based classification using genetical data; 2004; Article; Journal; Environmental Biology of Fishes; Guinand, B.; Scribner, K. T.; Topchy, A.; Page, K. S.; Punch, W.; Burnham-Curtis, M. K.

Summary

We demonstrate the effectiveness of a genetic algorithm for discovering multi-locus combinations that provide accurate individual assignment decisions and estimates of mixture composition based on likelihood classification. Using simulated data representing different levels of inter-population differentiation (Fst ~ 0.01 and 0.10), genetic diversities (four or eight alleles per locus), and population sizes (20, 40, 100 individuals in baseline populations), we show that subsets of loci can be identified that provide comparable levels of accuracy in classification decisions relative to entire multi-locus data sets, where 5, 10, or 20 loci were considered. Microsatellite data sets from hatchery strains of lake trout, Salvelinus namaycush, [...]

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Type Scheme Key
local-index unknown 70006448
local-pk unknown 70006448
doi http://www.loc.gov/standards/mods/mods-outline-3-5.html#identifier doi:10.1023/B:EBFI.0000022869.72448.cd
series unknown Environmental Biology of Fishes

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citationTypeArticle
journalEnvironmental Biology of Fishes
languageEnglish
parts
typevolume
value69
typeissue
value1-4

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